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- Publisher Website: 10.1109/IGARSS.2019.8899276
- Scopus: eid_2-s2.0-85077724001
- WOS: WOS:000519270600035
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Conference Paper: Retrieval of Multiple Land Surface and Atmospheric Parameters from the Himawari-8 AHI Top-of-Atmosphere Observations
| Title | Retrieval of Multiple Land Surface and Atmospheric Parameters from the Himawari-8 AHI Top-of-Atmosphere Observations |
|---|---|
| Authors | |
| Keywords | AHI atmosphere coupled radiative transfer model inversion land optimization |
| Issue Date | 2019 |
| Citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2019, p. 138-141 How to Cite? |
| Abstract | New generation geostationary satellite data exhibit high temporal, spectral, and spatial resolutions. This fact calls for new methodologies for accurate estimation of multiple land surface and atmospheric parameters. In this study, geostationary Advanced Himawari Imager (AHI) top-of-atmosphere (TOA) observations are used to simultaneously estimate a suit of physically consistent land surface and atmospheric parameters using the optimization method with a coupled soil, snow, canopy, and atmosphere radiation transfer model from 0.28 μm to 14 μm under all-sky conditions. Preliminary results of the algorithm by comparisons with the current remote sensing product and the field measurements were presented. |
| Persistent Identifier | http://hdl.handle.net/10722/316534 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ma, Han | - |
| dc.contributor.author | Liang, Shunlin | - |
| dc.date.accessioned | 2022-09-14T11:40:41Z | - |
| dc.date.available | 2022-09-14T11:40:41Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2019, p. 138-141 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/316534 | - |
| dc.description.abstract | New generation geostationary satellite data exhibit high temporal, spectral, and spatial resolutions. This fact calls for new methodologies for accurate estimation of multiple land surface and atmospheric parameters. In this study, geostationary Advanced Himawari Imager (AHI) top-of-atmosphere (TOA) observations are used to simultaneously estimate a suit of physically consistent land surface and atmospheric parameters using the optimization method with a coupled soil, snow, canopy, and atmosphere radiation transfer model from 0.28 μm to 14 μm under all-sky conditions. Preliminary results of the algorithm by comparisons with the current remote sensing product and the field measurements were presented. | - |
| dc.language | eng | - |
| dc.relation.ispartof | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
| dc.subject | AHI | - |
| dc.subject | atmosphere | - |
| dc.subject | coupled radiative transfer model | - |
| dc.subject | inversion | - |
| dc.subject | land | - |
| dc.subject | optimization | - |
| dc.title | Retrieval of Multiple Land Surface and Atmospheric Parameters from the Himawari-8 AHI Top-of-Atmosphere Observations | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/IGARSS.2019.8899276 | - |
| dc.identifier.scopus | eid_2-s2.0-85077724001 | - |
| dc.identifier.spage | 138 | - |
| dc.identifier.epage | 141 | - |
| dc.identifier.isi | WOS:000519270600035 | - |